V. G. Vinod Vydiswaran

According to our database, V. G. Vinod Vydiswaran authored at least 61 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Divide-or-Conquer? Which Part Should You Distill Your LLM?

Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang

CoRR, 2024

2023

Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research.

Anne M. Walling, Joshua M. Pevnick, Antonia V. Bennett, V. G. Vinod Vydiswaran, Christine S. Ritchie

J. Am. Medical Informatics Assoc., June, 2023

Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition.

Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy A. Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez

Database J. Biol. Databases Curation, February, 2023

ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger.

Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao

CoRR, 2023

HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings.

Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

StellEllaStars at MEDIQA-Sum 2023: Exploring Transformer-Based models for Dialogue2Topic Classification.

Chi-Yun Chang, Jiaqi Li, Shivangi Kumar, V. G. Vinod Vydiswaran

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles.

Quancheng Liu, Xiheng Ren, V. G. Vinod Vydiswaran

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Defending against Insertion-based Textual Backdoor Attacks via Attribution.

Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

IDPG: An Instance-Dependent Prompt Generation Method.

Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Data Science and Natural Language Processing to Extract Information in Clinical Domain.

V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Validating Complex Phenotypes: A Structured Approach for Dementia.

David A. Dorr, Nicole Gray Weiskopf, Michelle Bobo, MJ Dunne, Peijan Han, Jessica Kim, V. G. Vinod Vydiswaran

Proceedings of the AMIA 2022, 2022

2021

Data Science and Natural Language Processing to Extract Information from Clinical Narratives.

V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

LIREx: Augmenting Language Inference with Relevant Explanations.

Xinyan Zhao, V. G. Vinod Vydiswaran

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Uncovering the relationship between food-related discussion on Twitter and neighborhood characteristics.

V. G. Vinod Vydiswaran, Daniel M. Romero, Xinyan Zhao, Deahan Yu, Iris N. Gomez-Lopez, Jin Xiu Lu, Bradley E. Iott, Ana Baylin, Erica C. Jansen, Philippa Clarke, Veronica J. Berrocal, Robert Goodspeed, Tiffany C. Veinot

J. Am. Medical Informatics Assoc., 2020

LIREx: Augmenting Language Inference with Relevant Explanation.

Xinyan Zhao, V. G. Vinod Vydiswaran

CoRR, 2020

Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020.

V. G. Vinod Vydiswaran, Deahan Yu, Xinyan Zhao, Ermioni Carr, Jonathan Martindale, Jingcheng Xiao, Noha Ghannam, Matteo Althoen, Alexis Castellanos, Neel Patel, Daniel Vasquez

Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020

Re-ranking Biomedical Literature for Precision Medicine with Pre-trained Neural Models.

Jiazhao Li, Adharsh Murali, Qiaozhu Mei, V. G. Vinod Vydiswaran

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions.

Jiazhao Li, Corey A. Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Special issue of BMC medical informatics and decision making on health natural language processing.

V. G. Vinod Vydiswaran, Yaoyun Zhang, Yanshan Wang, Hua Xu

BMC Medical Informatics Decis. Mak., 2019

Identifying peer experts in online health forums.

V. G. Vinod Vydiswaran, Manoj Reddy

BMC Medical Informatics Decis. Mak., 2019

Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification.

David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng

BMC Medical Informatics Decis. Mak., 2019

Hybrid bag of approaches to characterize selection criteria for cohort identification.

V. G. Vinod Vydiswaran, Asher Strayhorn, Xinyan Zhao, Phil Robinson, Mahesh Agarwal, Erin Bagazinski, Madia Essiet, Bradley E. Iott, Hyeon Joo, PingJui Ko, Dahee Lee, Jin Xiu Lu, Jinghui Liu, Adharsh Murali, Koki Sasagawa, Tianshi Wang, Nalingna Yuan

J. Am. Medical Informatics Assoc., 2019

Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation.

Xinyan Zhao, Deahan Yu, V. G. Vinod Vydiswaran

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1.

V. G. Vinod Vydiswaran, Grace Ganzel, Bryan Romas, Deahan Yu, Amy Austin, Neha Bhomia, Socheatha Chan, Stephanie Hall, Van Le, Aaron Miller, Olawunmi Oduyebo, Aulia Song, Radhika Sondhi, Danny Teng, Hao Tseng, Kim Vuong, Stephanie Zimmerman

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

2018

User acceptance of location-tracking technologies in health research: Implications for study design and data quality.

Jean Hardy, Tiffany C. Veinot, Xiang Yan, Veronica J. Berrocal, Philippa Clarke, Robert Goodspeed, Iris N. Gomez-Lopez, Daniel M. Romero, V. G. Vinod Vydiswaran

J. Biomed. Informatics, 2018

Retrieving scientific abstracts iteratively: MedIER at TREC 2018 Precision Medicine Track.

Jinghui Liu, Clair A. Kronk, Wu-Chen Su, Danny T. Y. Wu, V. G. Vinod Vydiswaran

Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

"Bacon Bacon Bacon": Food-Related Tweets and Sentiment in Metro Detroit.

V. G. Vinod Vydiswaran, Daniel M. Romero, Xinyan Zhao, Deahan Yu, Iris N. Gomez-Lopez, Jin Xiu Lu, Bradley E. Iott, Ana Baylin, Philippa Clarke, Veronica J. Berrocal, Robert Goodspeed, Tiffany C. Veinot

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Towards Identifying Peer Expertise in Online Health Forums.

Manoj Reddy, V. G. Vinod Vydiswaran

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction.

David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Supervised Learning Approach to Link Prediction in FDA Adverse Event Reporting System (FAERS) Database Network.

Andy Jinseok Lee, Sunyang Fu, V. G. Vinod Vydiswaran

Proceedings of the AMIA 2018, 2018

Feasibility of Identifying Oral Anticancer Agent Toxicity Self-Reporting and Management Advice from Clinical Notes.

Yun Jiang, V. G. Vinod Vydiswaran, Eun-Young Lee, Hyeon Joo, Anna Zheng, Marcelline R. Harris

Proceedings of the AMIA 2018, 2018

2017

Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.

David A. Hanauer, Danny T. Y. Wu, Lei Yang, Qiaozhu Mei, Katherine B. Murkowski-Steffy, V. G. Vinod Vydiswaran, Kai Zheng

J. Biomed. Informatics, 2017

Retrieving documents based on gene name variations: MedIER at TREC 2017 Precision Medicine Track.

Tong Yin, Danny T. Y. Wu, V. G. Vinod Vydiswaran

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Identifying Usage Expression Sentences in Consumer Product Reviews.

Shibamouli Lahiri, V. G. Vinod Vydiswaran, Rada Mihalcea

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Creating a Labeled Dataset for Medical Misinformation in Health Forums.

Alexander Kinsora, Kate Barron, Qiaozhu Mei, V. G. Vinod Vydiswaran

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

HyDeXT: A Hybrid De-identification and Extraction Tool for Health Text.

Xinyan Zhao, V. G. Vinod Vydiswaran

Proceedings of the AMIA 2017, 2017

Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding.

Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei

Proceedings of the AMIA 2017, 2017

2016

Assessing the readability of ClinicalTrials.gov.

Danny T. Y. Wu, David A. Hanauer, Qiaozhu Mei, Patricia M. Clark, Lawrence C. An, Joshua Proulx, Qing T. Zeng, V. G. Vinod Vydiswaran, Kevyn Collins-Thompson, Kai Zheng

J. Am. Medical Informatics Assoc., 2016

The DARPA Twitter Bot Challenge.

V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang

CoRR, 2016

Analyzing Multiple Medical Corpora Using Word Embedding.

Jian Huang, Keyang Xu, V. G. Vinod Vydiswaran

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

2015

Ease of adoption of clinical natural language processing software: An evaluation of five systems.

Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Özlem Uzuner, Anupama E. Gururaj, Samuel Bayer, John S. Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu, Hua Xu

J. Biomed. Informatics, 2015

Overcoming bias to learn about controversial topics.

V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli

J. Assoc. Inf. Sci. Technol., 2015

Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track.

Fengmin Hu, Danny T. Y. Wu, Qiaozhu Mei, V. G. Vinod Vydiswaran

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content.

Tera L. Reynolds, V. G. Vinod Vydiswaran, Yuting Wu, Qiaozhu Mei, David A. Hanauer, Kai Zheng

Proceedings of the AMIA 2015, 2015

2014

User-Created Groups in Health Forums: What Makes Them Special?

V. G. Vinod Vydiswaran, Yang Liu, Kai Zheng, David A. Hanauer, Qiaozhu Mei

Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Mining Consumer Health Vocabulary from Community-Generated Text.

V. G. Vinod Vydiswaran, Qiaozhu Mei, David A. Hanauer, Kai Zheng

Proceedings of the AMIA 2014, 2014

2012

Reliability Prediction of Webpages in the Medical Domain.

Parikshit Sondhi, V. G. Vinod Vydiswaran, ChengXiang Zhai

Proceedings of the Advances in Information Retrieval, 2012

BiasTrust: teaching biased users about controversial topics.

V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Unbiased learning of controversial topics.

V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli

Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

2011

Content-driven trust propagation framework.

V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

News Sync: Enabling scenario-based news exploration.

V. G. Vinod Vydiswaran, Jeroen van den Eijkhof, Raman Chandrasekar, Ann Paradiso, Jim St. George

Proceedings of the Bridging the Gulf: Communication and Information in Society, Technology, and Work, 2011

2010

Textual Entailment.

Mark Sammons, Idan Szpektor, V. G. Vinod Vydiswaran

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 1, 2010, Los Angeles, California, USA, 2010

"Ask Not What Textual Entailment Can Do for You...".

Mark Sammons, V. G. Vinod Vydiswaran, Dan Roth

Proceedings of the ACL 2010, 2010

2009

Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track.

V. G. Vinod Vydiswaran, Kavita Ganesan, Yuanhua Lv, Jing He, ChengXiang Zhai

Proceedings of The Eighteenth Text REtrieval Conference, 2009

A Study of Term Proximity and Document Weighting Normalization in Pseudo Relevance Feedback--UIUC at TREC 2009 Million Query Track.

Yuanhua Lv, Jing He, V. G. Vinod Vydiswaran, Kavita Ganesan, ChengXiang Zhai

Proceedings of The Eighteenth Text REtrieval Conference, 2009

Relation Alignment for Textual Entailment Recognition.

Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua S. Rule, Quang Do, Dan Roth

Proceedings of the Second Text Analysis Conference, 2009

A Framework for Entailed Relation Recognition.

Dan Roth, Mark Sammons, V. G. Vinod Vydiswaran

Proceedings of the ACL 2009, 2009

2008

Opinion Summarization Using Entity Features and Probabilistic Sentence Coherence Optimization: UIUC at TAC 2008 Opinion Summarization Pilot.

Hyun Duk Kim, Dae Hoon Park, V. G. Vinod Vydiswaran, ChengXiang Zhai

Proceedings of the First Text Analysis Conference, 2008

2005

Learning to extract information from large websites using sequential models.

V. G. Vinod Vydiswaran, Sunita Sarawagi

Proceedings of the Advances in Data Management 2005, 2005

2004

Learning to extract information from large domain-specific websites using sequential models.

Sunita Sarawagi, V. G. Vinod Vydiswaran

SIGKDD Explor., 2004

2003

Resolving citations in a paper repository.

Sunita Sarawagi, V. G. Vinod Vydiswaran, Sumana Srinivasan, Kapil Bhudhia

SIGKDD Explor., 2003